Effect of image denoising on geometric moments in image applications

DOI10.1007/s41478-022-00534-7OpenAlexW4311977085MaRDI QIDQ6117986

Mingming Yin, Tarmizi Adam, Raveendran Paramesran, Mohd Fikree Hassan

Publication date: 23 February 2024

Published in: The Journal of Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s41478-022-00534-7

zbMATH Keywords

total variationimage denoisinggeometric momentimage applications

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

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• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Nonlinear total variation based noise removal algorithms
• Blind image quality assessment for Gaussian blur images using exact Zernike moments and gradient magnitude
• Fuzzy logic and distance measure based adaptive fixed value impulse noise filter
• Image reconstruction from geometric moments via cascaded digital filters
• A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
• Implementation of high-order variational models made easy for image processing
• Moments and Moment Invariants in Pattern Recognition

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